Evidence map›Paper›PMID 38702355›Full record

ArticleScientific reports2024

Gentamicin loaded niosomes against intracellular uropathogenic Escherichia coli strains.

Jacopo Forte, Linda Maurizi, Maria Gioia Fabiano, Antonietta Lucia Conte, Maria Pia Conte, Maria Grazia Ammendolia, Eleonora D'Intino, Angela Catizone, Luisa Gesualdi, Federica Rinaldi and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. More than an infection: the ecological puzzle of recurrent urinary tract infections.Frontiers in cellular and infection microbiology · 2026
    Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Jacopo Forte *Dipartimento di Chimica e Tecnologie del Farmaco, Sapienza Università di Roma, Piazzale Aldo Moro, 5, 00185, Rome, Italy.
Linda Maurizi *Dipartimento di Sanità Pubblica e Malattie Infettive, Sapienza Università di Roma, Piazzale Aldo Moro, 5, 00185, Rome, Italy.
Maria Gioia FabianoDipartimento di Chimica e Tecnologie del Farmaco, Sapienza Università di Roma, Piazzale Aldo Moro, 5, 00185, Rome, Italy.
Antonietta Lucia ConteDipartimento di Sanità Pubblica e Malattie Infettive, Sapienza Università di Roma, Piazzale Aldo Moro, 5, 00185, Rome, Italy.
Maria Pia ConteDipartimento di Sanità Pubblica e Malattie Infettive, Sapienza Università di Roma, Piazzale Aldo Moro, 5, 00185, Rome, Italy.
Maria Grazia AmmendoliaCentro Nazionale Tecnologie Innovative in Sanità Pubblica, Istituto Superiore di Sanità, Viale Regina Elena, 299, 00161, Rome, Italy. maria.ammendolia@iss.it.
Eleonora D'IntinoDipartimento di Chimica e Tecnologie del Farmaco, Sapienza Università di Roma, Piazzale Aldo Moro, 5, 00185, Rome, Italy.
Angela CatizoneDipartimento Scienze Anatomiche, Istologiche, Medico Legali e Dell'Apparato Locomotore, Sapienza Università di Roma, Via Scarpa, 16, 00161, Rome, Italy.
Luisa GesualdiDipartimento Scienze Anatomiche, Istologiche, Medico Legali e Dell'Apparato Locomotore, Sapienza Università di Roma, Via Scarpa, 16, 00161, Rome, Italy.
Federica RinaldiDipartimento di Chimica e Tecnologie del Farmaco, Sapienza Università di Roma, Piazzale Aldo Moro, 5, 00185, Rome, Italy. federica.rinaldi@uniroma1.it.
Maria CarafaDipartimento di Chimica e Tecnologie del Farmaco, Sapienza Università di Roma, Piazzale Aldo Moro, 5, 00185, Rome, Italy.
Carlotta Marianecci *Dipartimento di Chimica e Tecnologie del Farmaco, Sapienza Università di Roma, Piazzale Aldo Moro, 5, 00185, Rome, Italy.
Catia Longhi *Dipartimento di Sanità Pubblica e Malattie Infettive, Sapienza Università di Roma, Piazzale Aldo Moro, 5, 00185, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urinary tract infections (UTIs) are the most common bacterial infections and uropathogenic Escherichia coli (UPEC) is the main etiological agent of UTIs. UPEC can persist in bladder cells protected by immunological defenses and antibiotics and intracellular behavior leads to difficulty in eradicating the infection. The aim of this paper is to design, prepare and characterize surfactant-based nanocarriers (niosomes) able to entrap antimicrobial drug and potentially to delivery and release antibiotics into UPEC-infected cells. In order to validate the proposed drug delivery system, gentamicin, was chosen as "active model drug" due to its poor cellular penetration. The niosomes physical-chemical characterization was performed combining different techniques: Dynamic Light Scattering Fluorescence Spectroscopy, Transmission Electron Microscopy. Empty and loaded niosomes were characterized in terms of size, ζ-potential, bilayer features and stability. Moreover, Gentamicin entrapped amount was evaluated, and the release study was also carried out. In addition, the effect of empty and loaded niosomes was studied on the invasion ability of UPEC strains in T24 bladder cell monolayers by Gentamicin Protection Assay and Confocal Microscopy. The observed decrease in UPEC invasion rate leads us to hypothesize a release of antibiotic from niosomes inside the cells. The optimization of the proposed drug delivery system could represent a promising strategy to significatively enhance the internalization of antimicrobial drugs.

Indexed as

Anti-Bacterial AgentsGentamicinsLiposomesUropathogenic Escherichia coliDrug CarriersDrug Delivery SystemsEscherichia coli InfectionsHumansMicrobial Sensitivity TestsUrinary Tract InfectionsAnti-Bacterial AgentsDrug CarriersGentamicinsLiposomes

Identifiers

PMID38702355
PMCPMC11068731

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.